Build

A Private AI Assistant for Company Knowledge

A company knowledge assistant searches approved sources, assembles relevant context and answers with citations. It should respect existing access boundaries and make uncertainty visible. Available worldwide for organisations that need employees to retrieve approved internal knowledge with citations and access controls.

build capability networkInputs move through a controlled AI decision, approved tools, human review and a business action.INPUTINTERPRETDECIDEREVIEWACTIONDATATOOLSCONTROL

Problem to system

Design the whole path, not just the AI step.

Inputs, decisions, tools, human approval and the final action work as one controlled system.

Relevant business situations

Where this capability becomes useful

These are qualified applications, not claims about completed client outcomes.

01

Policy and procedure retrieval

Answer from current approved sources and route interpretation or exceptions to the content owner.

02

Employee onboarding

Help new team members find cited processes without bypassing role-based access.

03

Proposal and delivery knowledge

Retrieve reusable approved material while preserving source ownership and version context.

04

Unanswered-question analysis

Record gaps and feedback so owners can improve the underlying knowledge, not only the assistant.

Delivery system

A controlled path from workflow to operation

Every stage leaves an explicit decision, output or control.

  1. 01

    Select sources

    Identify authoritative documents, systems and content owners.

  2. 02

    Design access

    Mirror appropriate permissions and separate sensitive collections.

  3. 03

    Prepare knowledge

    Clean structure, metadata and update paths before retrieval.

  4. 04

    Ground answers

    Return source references and state when evidence is insufficient.

  5. 05

    Maintain

    Track feedback, stale content, unanswered questions and access changes.

Deliverable modules

What the engagement can produce

01Source and permission map
02Search and answer experience
03Citations and feedback controls
04Evaluation set
05Content update workflow
06Administration documentation

Control points

Reliability is designed into the system.

  • Source-level permissions
  • Citations by default
  • Freshness ownership
  • No-answer behaviour
  • Access and feedback review

Where it fits

Useful when there is a real operating problem to solve.

Not designed for

Organisations without an owner for source quality

Use cases that require the assistant to invent missing policy

This may fit if

  • Teams losing time searching across documents
  • Businesses with repeated internal questions
  • Companies with useful but fragmented knowledge

Questions

What buyers usually need to know

01Is this just a chatbot trained on our data?

No. It retrieves from approved sources at answer time, applies access rules and should show where each answer came from.

02How do you reduce hallucinations?

Use scoped sources, retrieval quality checks, citations, explicit no-answer behaviour and evaluation against real questions.

03Who keeps information current?

The business retains content ownership. We design an update and review workflow so the assistant follows the source of truth.

Build

Turn one business problem into a controlled working system.

Describe the input, current decision and desired action. We will help you identify a sensible implementation path.

Discuss an Implementation